Photonic Sensors

, Volume 8, Issue 3, pp 220–227 | Cite as

Mellin Transform-Based Correction Method for Linear Scale Inconsistency of Intrusion Events Identification in OFPS

  • Baocheng Wang
  • Dandan Qu
  • Qing TianEmail author
  • Liping Pang
Open Access


For the problem that the linear scale of intrusion signals in the optical fiber pre-warning system (OFPS) is inconsistent, this paper presents a method to correct the scale. Firstly, the intrusion signals are intercepted, and an aggregate of the segments with equal length is obtained. Then, the Mellin transform (MT) is applied to convert them into the same scale. The spectral characteristics are obtained by the Fourier transform. Finally, we adopt back-propagation (BP) neural network to identify intrusion types, which takes the spectral characteristics as input. We carried out the field experiments and collected the optical fiber intrusion signals which contain the picking signal, shoveling signal, and running signal. The experimental results show that the proposed algorithm can effectively improve the recognition accuracy of the intrusion signals.


Linear scale OFPS MT BP neural network spectral characteristics 



This work was supported by the National Natural Science Foundation of China (Grant Nos. 61571014 and 61601006); Beijing Nature Science Foundation (Grant No. 4172017); General Project of Science and Technology Program of Beijing Education Commission (Grant No. KM201610009004).


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© The Author(s) 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Baocheng Wang
    • 1
  • Dandan Qu
    • 2
  • Qing Tian
    • 2
    Email author
  • Liping Pang
    • 3
  1. 1.School of ComputerNorth China University of TechnologyBeijingChina
  2. 2.School of Electrical and Information EngineeringNorth China University of TechnologyBeijingChina
  3. 3.School of Aviation Science and EngineeringBeijing University of Aeronautics and Astronautics (BUAA)BeijingChina

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